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@karpathy
karpathy / llm-wiki.md
Created April 4, 2026 16:25
llm-wiki

LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

@mingfeima
mingfeima / pytorch_channels_last_perf_optimization.md
Last active May 6, 2026 09:08
PyTorch Channels Last memory format perf optimization and oneDNN integration plan.

PyTorch Channels Last Memory Format Performance Optimization on CPU Path

("mkldnn" has been renamed to "oneDNN", but exsiting PyTorch APIs still use "mkldnn", future work will align PyTorch user level APIs to "oneDNN")

Table of Contents

  • PyTorch Channels Last memory format introduction
  • oneDNN API for NHWC layout
  • Generic Channels Last memory format optimization with ATen native
  • oneDNN NHWC integration

NB: Memory format refers to data representation that describes how multidimensional arrays (nD) are stored in linear (1D) memory address space. Memory format has the same semantic with layout in oneDNN. Layout in PyTorch has other semantic ofdescribing dense or sparse with the attributes: 'torch.strided', 'torch.sparse_coo'.

@dwallraff
dwallraff / syslog_netcat.sh
Created November 10, 2016 02:54
Use netcat to send syslog messages
# Here’s how to create UDP syslog messages via nc, netcat:
echo ‘<14>_sourcehost_ messagetext’ | nc -v -u -w 0 _syslog-host_ 514
@adamawolf
adamawolf / Apple_mobile_device_types.txt
Last active May 6, 2026 09:03
List of Apple's mobile device codes types a.k.a. machine ids (e.g. `iPhone1,1`, `Watch1,1`, etc.) and their matching product names
i386 : iPhone Simulator
x86_64 : iPhone Simulator
arm64 : iPhone Simulator
iPhone1,1 : iPhone
iPhone1,2 : iPhone 3G
iPhone2,1 : iPhone 3GS
iPhone3,1 : iPhone 4
iPhone3,2 : iPhone 4 GSM Rev A
iPhone3,3 : iPhone 4 CDMA
iPhone4,1 : iPhone 4S
@lopspower
lopspower / README.md
Last active May 6, 2026 09:03
Hexadecimal color code for transparency

Hexadecimal color code for transparency

Twitter

How to set transparency with hex value ?

For example, you want to set 40% alpha transparence to #000000 (black color), you need to add 66 like this #66000000.

All hex value from 100% to 0% alpha:

@rchasman
rchasman / gist:1504332a3b50eb4aa616f1d9341d4001
Last active May 6, 2026 09:02
MS Word-like tip tap indent handler.
import { Extension } from "@tiptap/core";
const TAB_CHAR = "\u0009";
const IndentHandler = Extension.create({
name: "indentHandler",
addKeyboardShortcuts() {
return {
Tab: ({ editor }) => {
const { selection } = editor.state;
@huaihuai128
huaihuai128 / llm-wiki.md
Created May 6, 2026 09:02 — forked from karpathy/llm-wiki.md
llm-wiki

LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

@0wwafa
0wwafa / PRINT_CLAUDE.md
Last active May 6, 2026 09:02
Print / Export Claude Chat

Go to https://claude.ai/chat/new (or any other chat you had in the past).

Then run this code:

function printClaude() {   // (C) 2024 by ZeroWw. If you use this code, just give me some credit.
    const centralPart = document.querySelector('.flex-1.flex.flex-col.px-4.max-w-3xl.mx-auto.w-full.pt-1');

    if (centralPart) {
        // Expand all "show more" buttons
        document.querySelectorAll('button').forEach(button => {